The diesel generators sets (DGs) and battery storage systems (BSS) are the essential energy sources in a modern high-rise buildings. In this paper DG, BSS Photovoltaic system (PV) has been considered to minimize grid power injection using centralized Energy Management System (EMS). Machine Learning (ML) techniques used predict performance of various regression models by comparing load curves. I...

Abstract There is a growing interest in increasing the presence of renewable energy electric network. Photovoltaic production from grid-connected systems leading this growth terms households. Alongside development, concern about network security has emerged, because excesses intermittent on grid could exceed voltage limits. Self-consumption, understood as capacity producer to consume his or her...

the aim of this study was to represent effective componentsin demand chain which help organizations attain high performance levelsthrough identification of these components and determining theirdegree of importance. the following questions were major ideas of thisstudy: what are the most effective components in demand chain? andhow are they effective on organizational performance? to this end,m...

In order to analyse the possibilities of improving grid stability on island systems by local demand response mechanisms, a multi-agent simulation model is presented. To support the primary reserve, an under-frequency load shedding (UFLS) using refrigerator loads is modelled. The model represents the system at multiple scales, by recreating each refrigerator individually, and coupling the whole ...

In the light of increasing volatility in electricity price and availability, demand side management (DSM), which refers to the active management of electricity consumption, has become crucial for the economic performance of power-intensive industries. Due to its time-sensitive nature, DSM is a challenge for industrial plants; however, it can also be an opportunity if sufficient process flexibil...

This paper presents an optimization method to the Demand Side Energy Management System (DSEMS) of a given consumer (e.g.an industrial compound or university campus) with respect to hourly electricity prices. The demands can be supplied through the main grid and stochastic Distributed Energy Resources (DERs), such as wind and solar power sources. To solve this DSEMS problem and optimization algo...

Modeling of supermarket refrigeration systems for supervisory control in the smart grid is presented in this paper. A modular modeling approach is proposed in which each module is modeled and identified separately. The focus of the work is on estimating the power consumption of the system while estimating the cold reservoir temperatures as well. The models developed for each module as well as f...

This paper presents a study about centralized management of domestic electrical demand side. The purpose of the work is to show all steps behind optimal management of a domestic user. First it is investigated which domestic devices can be managed. The choice falls on interruptible devices in order to reduce of discomfort given to inhabitants of dwellings. Then total load of interruptible device...

This paper aims to present the development, design and analysis of a control scheme named Thermal Model Predictive Control for Demand Side Management Cooling Strategies. The control is implemented on a building in Athens whose thermal model is derived using the Finite Difference Calculation Method. The development and testing of the thermal model is implemented on-line while the predictive cont...

Information and communication technologies (ICT) will play a key role in electricity distribution grids, especially with regard to grid monitoring and system services conducted through measures of demand side management (DSM). This paper outlines legal aspects to be taken into consideration when designing an ICT infrastructure to establish a market for demand side management and aims at pointin...